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SUMMARY:Mathematics for mechanistic biology and drug discovery - Dr Rahuma
 n Sheriff (EMBL-EBI)
DTSTART:20181128T140000Z
DTEND:20181128T150000Z
UID:TALK115135@talks.cam.ac.uk
CONTACT:46925
DESCRIPTION:Abstract: Recently\, mathematical and statically approaches ha
 ve become increasingly common in cell biology research and drug discovery.
  Modelling of biomedical processes such as cell division\, cancer progress
 ion or tumour-immune interaction\, helps to elucidate the underlying mecha
 nism by providing predictions that can be experimentally validated.  For e
 xample\, our cell cycle model (Arajuo et al.\, 2016) revealed how mitotic 
 duration is kept short and constant in mammalian cells. Many such models a
 re available in BioModels (Glont et al.\, 2018)\, a repository of mathemat
 ical models of biological processes. We do targeted curation of mathematic
 al models in BioModels to enrich models of specific areas such as neurodeg
 enerative disease\, diabetes\, cancer\, blood coagulation\, cell cycle\, e
 tc. Furthermore\, we are developing computational tools that predict the d
 ynamics of cell signalling and cellular response to disease treatments\, b
 y integrating appropriate mathematical models with gene and protein expres
 sion data from different disease conditions. Additionally\, we are also de
 veloping visual programming based tools that employ network propagation of
  drug-target protein-protein interaction network to facilitate identificat
 ion of novel drugs and their probable adverse effects. I will briefly disc
 uss these tools and their potential application in drug discovery. 
LOCATION:MR4\, Centre for Mathematical Sciences\, Wilberforce Road\, Cambr
 idge
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